Systems and Methods for Generating Insights Based on Physical Signals
Abstract
The present disclosure is directed to generating insight based on physical signals. The method includes receiving contextual data associated with a first party user and at least one item. The contextual data is indicative of a physical interaction between the first party user and the at least one item. The physical interaction, for example, can include an approaching action, a picking up action, or any other action between a first party user and an item in the physical world. The method includes determining an item interest level for the at least one item based, at least in part, on the contextual data. And, the method includes initiating a presentation of a content item to the user via a user device associated with the user based, at least in part, on the item interest level for the at least one item. The content item includes information for the at least one item.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A computer-implemented method, comprising:
receiving, by a first party computing system comprising one or more computing devices, contextual data associated with a first party user and at least one item, wherein the contextual data is indicative of a physical interaction between the first party user and the at least one item; determining, by the first party computing system, an item interest level for the at least one item based, at least in part, on the contextual data; and initiating, by the first party computing system, a presentation of a content item to the first party user via a user device associated with the first party user based, at least in part, on the item interest level for the at least one item, wherein the content item comprises information for the at least one item.
2 . The computer-implemented method of claim 1 , wherein the user device comprises a mobile phone associated with the first party user.
3 . The computer-implemented method of claim 1 , wherein the contextual data comprises at least one of sensor data descriptive of the physical interaction or communication data indicative of the physical interaction.
4 . The computer-implemented method of claim 1 , wherein the physical interaction comprises an interaction type, the interaction type indicative of at least one of an approaching action, a viewing action, a touching action, or a holding action.
5 . The computer-implemented method of claim 4 , wherein the item interest level for the at least one item is based, at least in part, on the interaction type of the physical interaction.
6 . The computer-implemented method of claim 1 , wherein determining the item interest level for the at least one item based, at least in part, on the contextual data comprises:
referencing, by the first party computing system, the first party user corresponding to the physical interaction; receiving, by the first party computing system, user data associated with the first party user, wherein the user data comprises a portion of first party data associated with a merchant corresponding to the first party computing system, wherein the first party data is indicative of a plurality of first party users associated with the merchant; and determining, by the first party computing system, the item interest level for the at least one item based, at least in part, on the user data.
7 . The computer-implemented method of claim 6 , wherein the user data comprises one or more first party user identifiers and one or more first party user attributes associated with the first party user.
8 . The computer-implemented method of claim 7 , wherein the one or more first party user identifiers associated with first party user are indicative of at least one of a first-party identified user profile maintained by the first-party computing system.
9 . The computer-implemented method of claim 8 , wherein the one or more user attributes associated with the first party user are indicative of at least one of a user transaction history or one or more user preferences of the first-party identified user profile maintained by the first-party computing system.
10 . The computer-implemented method of claim 8 , wherein initiating the presentation of the content item to the first party user via the user device associated with the first party user comprises:
identifying, by the first party computing system, the user device associated with the first party user based, at least in part, on the one or more user identifiers; and providing, by the first party computing system, a first party advertising communication to the user device, wherein the first party advertising communication comprises data indicative of the content item and one or more instructions for presenting the content item to the first party user.
11 . The computer-implemented method of claim 9 , wherein the merchant is associated with a first party software application configured to run on the user device, and wherein the one or more instructions cause the first party software application to display a user interface comprising data indicative of the content item, wherein the user interface is associated with the first-party identified user profile maintained by the first-party computing system.
12 . The computer-implemented method of claim 7 , wherein the method further comprises:
receiving, by the first party computing system, data indicative of a user group comprising a subset of the plurality of first party users, wherein each first party user of the subset of the plurality of first party users are associated with a respective item interest level for the at least one item; updating, by the first party computing system, the user group based, at least in part, on the one or more user attributes associated with the first party user and the item interest level for the at least one item; and initiating, by the first party computing system, the presentation of the content item to the first party user via the user device associated with the first party user based, at least in part, on the user group.
13 . The computer-implemented method of claim 12 , wherein initiating the presentation of the content item to the first party user via the user device associated with the first party user based, at least in part, on the user group, comprises:
generating, by the first party computing system, a first party secure communication for a third party computing system, wherein the communication comprises data indicative of the at least one item and the user group; and communicating, by the first party computing system, the first party secure communication to the third party computing system, wherein the third party computing system is configured to cause the user device associated with the first party user to display data indicative of the content item based, at least in part, on the first party secure communication.
14 . The computer-implemented method of claim 13 , wherein generating the first party secure communication for the third party computing system comprises:
accessing, by the first-party computing system, a first-party user information attribute for the first party user, the first-party user information attribute associated with at least one of the one or more first party user identifiers; generating, by the first-party computing system, a first-party hashed user information attribute including indecipherable text by applying a predetermined hash function to the first-party user information attribute; and generating, by the first-party computing system, the first party secure communication including the first-party hashed user information attribute and the data indicative of the at least one item.
15 . The computer-implemented method of claim 14 , wherein the third party computing system is associated with a third party software application configured to run on the user device, wherein the third party computing system is configured to cause the third party software application to display a third party interface comprising data indicative of the content item.
16 . The computer-implemented method of claim 1 , wherein the information for the at least one item comprises one or more item details for the at least one item, one or more incentives for purchasing the at least one item, or one or more associated item details for one or more associated items associated with the at least one item.
17 . A first party computing system, comprising:
one or more processors; and a memory storing instructions that when executed by the one or more processors cause the first party computing system to perform operations comprising: receiving contextual data associated with a first party user and at least one item, wherein the contextual data is indicative of a physical interaction between the first party user and the at least one item; determining an item interest level for the at least one item based, at least in part, on the contextual data; and initiating a presentation of a content item to the first party user via a user device associated with the first party user based, at least in part, on the item interest level for the at least one item, wherein the content item comprises information for the at least one item.
18 . The first party computing system of claim 17 , wherein the contextual data is indicative of a time associated with the physical interaction, and wherein user device is configured to display the content item within a predetermined time period from the time associated with the physical interaction.
19 . One or more non-transitory computer-readable media comprising instructions that when executed by one or more computing devices cause the one or more computing devices to perform operations comprising:
receiving contextual data associated with a first party user and at least one item, wherein the contextual data is indicative of a physical interaction between the first party user and the at least one item; receiving user data associated with the first party user; determining an item interest level for the at least one item based, at least in part, on the contextual data; and initiating a presentation of a content item to the first party user via a user device associated with the first party user based, at least in part, on the user data and the item interest level, wherein the content item comprises information for the at least one item.
20 . The one or more non-transitory computer-readable media of claim 19 , wherein the contextual data comprises radar data generated via one or more radar sensors, wherein the radar data is descriptive of one or more user movements relative to the at least one item.Join the waitlist — get patent alerts
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